Dataset Versions

v5

2022-03-27 12:50pm

Generated on Mar 27, 2022

Popular Download Formats

Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
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Dataset Split

Train Set 92%
47811Images
Valid Set 6%
3134Images
Test Set 2%
1046Images

Preprocessing

Resize: Fit (black edges) in 320x320
Filter Null: Require at least 80% of images to contain annotations.

Augmentations

Outputs per training example: 3
Crop: 0% Minimum Zoom, 18% Maximum Zoom
Grayscale: Apply to 24% of images
Brightness: Between -25% and +25%
Noise: Up to 2% of pixels
Cutout: 3 boxes with 10% size each

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